Hybrid Staff ML Engineer - Ad Ranking & Deep Learning

The Briefed; San Mateo (CA); Hybrid; USD 190,000 - 280,000; Full time

Job summary

Roblox is seeking a Staff Machine Learning Engineer for the Performance Advertising team in a hybrid role anchored at San Mateo HQ. You will develop deep learning models and scalable recommendation systems powering the ad ranking platform for a global audience.

The role requires 5+ years of production ML experience, expertise in transformers, PyTorch/TF, and strong leadership to drive architectural decisions across engineering teams.

Qualifications

• 5+ years of professional experience designing, building, and scaling ML solutions in production.
• Bachelor of Science in Computer Science or related field; Master’s/PhD is a plus.

Responsibilities

• Drive end-to-end design and deployment of ML models for ad ranking, bid optimization, and retrieval.
• Architect and scale large-scale recommendation models with real-time inference.
• Author detailed specifications for ML platforms, offline feature pipelines, and real-time serving.
• Balance cutting-edge research with practical product execution to productionize models.
• Partner with product, platform engineering, and data teams as a technical ambassador.

Skills

Transformer training

Inference optimization

PyTorch

TensorFlow

Distributed training

Vector search

Real-time serving pipelines

Leadership

Education

Bachelor’s in CS or related technical discipline

Master’s or PhD a definite plus

Tools

PyTorch

TensorFlow

Job description

Roblox is seeking a Staff Machine Learning Engineer for the Performance Advertising team in a hybrid role anchored at San Mateo HQ. You will develop deep learning models and scalable recommendation systems powering the ad ranking platform for a global audience.

The role requires 5+ years of production ML experience, expertise in transformers, PyTorch/TF, and strong leadership to drive architectural decisions across engineering teams.